Rish, Irina,  1969- <br/><br/>
Sparse modeling :  theory, algorithms, and applications / 
Irina Rish, IBM, Yorktown Heights, New York, USA, Genady Ya. Grabarnik, St. John's University, Queens, New York, USA. 
 - xviii, 231 pages :  illustrations (some color) ;  24 cm. 
 - Chapman & Hall/CRC machine learning & pattern recognition series .
 - Chapman & Hall/CRC machine learning & pattern recognition series. .
<br/><br/> "A Chapman & Hall book." 
<br/><br/>Includes bibliographical references (pages 203-226) and index. 
<br/><br/>1. Introduction -- 2. Sparse recovery : problem formulations -- 3. Theoretical results (deterministic part) -- 4. Theoretical results (probabilistic part) -- 5. Algorithms for sparse recovery problems -- 6. Beyond LASSO : structured sparsity -- 7. Beyond LASSO : other loss functions -- 8. Sparse graphical models -- 9. Sparse matrix factorization : dictionary learning and beyond. 
<br/><br/>
<br/><br/><label>ISBN: </label>9781439828694 (Hardback) 1439828695 (Hardback) 
<br/><br/><label>LCCN: </label>2015304696 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Mathematical models.<br/>Sampling (Statistics)<br/>Sparse matrices.<br/>Mathematical models.
<br/><br/><label>LC Class. No.: </label>TA342  / .R57 2015 
<br/><br/><label>Dewey Class. No.: </label>511/.8